Title :
Measures of Conditional Tail-Dependence Risk with Copulas
Author :
Wen-de Yi ; Ai-hua Huang
Author_Institution :
Dept. of Math & Comput. Sci., Chongqing Univ. of Arts & Sci. Yongchuan, Chongqing
Abstract :
With the incorporation and globalization of financial market, the dependence relation between financial time series is strengthening, especially when the extreme events occur, the dependence effect is more obvious. Itpsilas very interesting to investigate the dependence structure and measures of tail part of time series. In this paper, some dependence probabilities and conditional tail-dependence risk measures are proposed to study the tail dependence risk of time series.
Keywords :
financial management; risk management; time series; conditional tail-dependence risk measures; copulas; dependence probability; financial market; financial time series; Conditional tail-dependence; Copula; Expected shortfall; Risk measure;
Conference_Titel :
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-2727-4
DOI :
10.1109/ISISE.2008.291